Real-Time Knowledge-Based Support for Air Traffic Management
IEEE Expert: Intelligent Systems and Their Applications
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
An application of Multi-Agent Coordination Techniques in Air Traffic Management
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
Grid resource management: state of the art and future trends
Grid resource management: state of the art and future trends
Grid Service Agents for Real Time Traffic Synchronization
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
ARMS: An agent-based resource management system for grid computing
Scientific Programming
Introduction to grid computing with globus
Introduction to grid computing with globus
A review of the applications of agent technology in traffic and transportation systems
IEEE Transactions on Intelligent Transportation Systems
Using meta-level control with reinforcement learning to improve the performance of the agents
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Searching for a black hole in interconnected networks using mobile agents and tokens
Journal of Parallel and Distributed Computing
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A method to balance the communication among Multi-Agents in real time traffic synchronization is proposed in this research. The paper presents Air Traffic Flow Management (ATFM) problem and its synchronization property. For such a complex problem, combing grid computing with multi-agent coordination techniques to improve ATFM computational efficiency is the main objective of actual research. To demonstrate the developed model – ATFM in Grid Computing (ATFMGC), the grid architecture, the basic components and the relationship among them are described. At the same time, the function of agents (tactical planning agent etc.), their knowledge representation and inference processes are also discussed. As criteria to measure the effective to reduce quantity of the communication among agents and the delay of the flights, Standard of Balancing among Agents (SBA) is used in the analysis. The simulation shows the efficiency of the developed model and successful application in the case study.